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Why visualize?
class: center, middle
Visualization as communication
- main goal is to communicate patterns in data
- we are wired to learn from seeing
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An example
GDP per capita and life expectancy across time
First attempt

Grouping time, adding population

Animated plots (using gganimate)

class: section-title # Learning outcomes
Knowledge and understanding
- demonstrate knowledge of the theoretical and practical construction of visualisations, and
- demonstrate understanding of how the type of data impacts the visualisation and what components are appropriate.
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Competence and skills
- demonstrate the skill to independently, using software, visualise various types of data,
- demonstrate the ability to make appropriate choices in designing visualisations, and
- demonstrate the ability to in writing present and discuss visualisations in dialogue with others.
Judgement and approach
- demonstrate the ability to assess visualisations with respect to clarity, accessibility and ethics, and
- demonstrate insight into the importance of the design of visualisations with respect to communicative properties, accessibility and ethics.
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Course structure
Topics
- introduction to R and R Studio
- introduction to ggplot2
- basics of data visualizations
- visualizations with one variable
- visualizations with several variables
- maps
- interactive and animated visualizations
Learning activities
- lectures
- text
- worked examples
Examination
Assessment
- quizzes
- assignments
- project
.pull-left[ ### Peer feedback
the assignment and project will be reviewed through peer-feedback ]
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.pull-left[ ## Course literature
- Data visualization: Charts, Maps, and Interactive Graphics (Grant, 2018). Available through LUBsearch.
- A Layered Grammar of Graphics (Wickham, 2010). Available online for free. ]
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Other resources
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Good luck!
References
Chang, W. (2013). R Graphics Cookbook: Practical Recipes for Visualizing Data. 1 edition. Beijing Cambridge Farnham Köln Sebastopol Tokyo: O’Reilly Media. 416 pp. ISBN: 978-1-4493-1695-2.
Grant, R. (2018). Data Visualization: Charts, Maps, and Interactive Graphics. 1 edition. Boca Raton: Chapman and Hall/CRC. 248 pp. ISBN: 978-1-138-70760-3.
Reinsel, D., J. Gantz, and J. Rydning (2018). The Digitization of the World: From Edge to Core. US44413318. MA, USA: IDC, p. 28.
Wickham, H. (2010). “A Layered Grammar of Graphics”. In: Journal of computational and graphical statistics 19.1, pp. 3-28. ISSN: 1061-8600. DOI: 10.1198/jcgs.2009.07098. URL: http://www.tandfonline.com/doi/abs/10.1198/jcgs.2009.07098 (visited on mar. 13, 2020).